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Evaluation and Influencing Factors of Network Resilience in Guangdong-Hong Kong-Macao Greater Bay Area: A Structural Perspective

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  • Jialu Shi

    (School of Economics, Shandong Normal University, Jinan 250358, China
    College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Xuan Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Chengxin Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Haimeng Liu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yi Miao

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Fuyi Ci

    (School of Economics, Shandong Normal University, Jinan 250358, China)

Abstract

Currently, urban crises are spreading, even tending to be magnified along the urban networks. Improving urban network resilience can effectively reduce the loss and cope with sudden disasters. Based on the dimensions of regional resilience and the framework of urban network, a new evaluation system of network resilience, including economic, social, and engineering networks, was established to assess the network resilience of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) from a structural perspective. We analyzed the spatial characteristics and influencing factors of network resilience using social network analysis and quadratic assignment procedure. The results were as follows: (1) regional difference was biggest in GBA’s economic network strength while smallest in its transportation network strength, and the east bank of the Pearl River represented an extremely resilient connection axis; (2) the structures of network resilience and its subsystems were heterogeneous, and the connection paths of network resilience were more heterogeneous and diversified than those of the subsystems; (3) network resilience presented an obvious core–edge structure, and the spatial correlation and spillover effect between blocks were substantial; and (4) geographical proximity, as well as differences in economic development, urban agglomeration, and market development, had a significant impact on network resilience. This study provides a more systematic approach to evaluate the regional network resilience, and the results provide references for the construction of bay areas in developing countries.

Suggested Citation

  • Jialu Shi & Xuan Wang & Chengxin Wang & Haimeng Liu & Yi Miao & Fuyi Ci, 2022. "Evaluation and Influencing Factors of Network Resilience in Guangdong-Hong Kong-Macao Greater Bay Area: A Structural Perspective," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8005-:d:852767
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    References listed on IDEAS

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    1. Minmin Li & Wenhua Guo & Renzhong Guo & Biao He & Zhichao Li & Xiaoming Li & Wenchao Liu & Yong Fan, 2022. "Urban Network Spatial Connection and Structure in China Based on Railway Passenger Flow Big Data," Land, MDPI, vol. 11(2), pages 1-18, February.
    2. Wenjia Zhang & Jean-Claude Thill, 2019. "Mesoscale Structures in World City Networks," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 109(3), pages 887-908, May.
    3. Ruiying Li & Qiang Dong & Chong Jin & Rui Kang, 2017. "A New Resilience Measure for Supply Chain Networks," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    4. Yi Cheng & Haimeng Liu & Shaobin Wang & Xuegang Cui & Qirui Li, 2021. "Global Action on SDGs: Policy Review and Outlook in a Post-Pandemic Era," Sustainability, MDPI, vol. 13(11), pages 1-25, June.
    5. Kyujin Jung, 2017. "Sources of Organizational Resilience for Sustainable Communities: An Institutional Collective Action Perspective," Sustainability, MDPI, vol. 9(7), pages 1-16, June.
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    1. Yu, Yu & Ma, Daipeng & Qian, Yingmiao, 2023. "A resilience measure for the international nickel trade network," Resources Policy, Elsevier, vol. 86(PA).

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